Triple
T20259234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MARS |
E498786
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | computer architecture benchmark |
C43200
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: computer architecture benchmark Context triple: [MARS, instanceOf, computer architecture benchmark]
-
A.
computer architecture
Computer architecture is the conceptual design and organization of a computer system’s fundamental components and their interactions, defining how hardware and software work together to execute instructions efficiently.
-
B.
CPU performance technology
CPU performance technology encompasses the architectures, techniques, and optimizations used to increase a processor’s speed, efficiency, and ability to handle complex computational workloads.
-
C.
microprocessor architecture
Microprocessor architecture is the conceptual design and organization of a computer’s central processing unit, defining its instruction set, data paths, control logic, memory hierarchy, and interfaces to efficiently execute programs.
-
D.
GPU architecture
GPU architecture is the conceptual design and organization of a graphics processing unit’s cores, memory hierarchy, and data paths that enable massively parallel computation for graphics and general-purpose workloads.
-
E.
historical computer architecture
Historical computer architecture is the study and classification of past computer system designs, components, and organizational principles that shaped the evolution of computing hardware over time.
- F. None of above. chosen
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
Created at: April 11, 2026, 11:41 p.m.